CC*IIE Networking Infrastructure: A High-Speed Scalable Research Core (HSSRC) at Washington State University

CC*IIE 网络基础设施：华盛顿州立大学的高速可扩展研究核心 (HSSRC)

• 批准号: 1440546
• 负责人: Tony Opheim
• 金额: $ 49.81万
• 依托单位: Washington State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1440546&HistoricalAwards=false
• 关键词: CC; IIE; Networking; Infrastructure; Speed

Washington State University (WSU) is embracing scientific computing in research and education by implementing an overarching strategy to build capacity and capabilities in computational and data science and to better respond to the emerging, diverse, and rapidly evolving needs of the university's research community across several disciplines. To catalyze new multi-disciplinary research applications, accelerate data-driven scientific discovery, and enable transformative training activities, WSU is improving its high-speed network infrastructure by establishing a High Speed Scalable Research Core (HSSRC) to access wide-area science services and software-defined networking environments. The deployment of the HSSRC at WSU advances the state-of-knowledge within the participating scientific disciplines by enabling the data resulting from simulations and instruments to be analyzed more rapidly and efficiently. For example, access to the HSSRC allows materials scientists to apply predictive theory and simulation capabilities to efficiently explore the structure-properties-performance parameter space and design new materials with optimized and tailored properties; enables nuclear theorists to unlock the unsolved mysteries of our cosmos; allows energy grid engineers to analyze in real-time the large number of power grids scenarios; and opens the possibility for researchers in genomics, genetics, and bioinformatics to dissect the genomic basis of diversity and answer questions that range from disentangling the evolutionary history of organisms to linking genomic changes to phenotypic changes. Moreover, the deployment of a HSSRC at WSU enables the training of the next generation of scientific leaders with knowledge and experience in a broad range of modeling and simulation disciplines and "big data" science.

华盛顿州立大学（WSU）正在通过实施一项总体战略，以建立计算和数据科学的能力和能力，并更好地应对跨多个学科的大学研究社区的新兴，多样化和快速发展的需求，在研究和教育中拥抱科学计算。 为了促进新的多学科研究应用，加速数据驱动的科学发现，并实现变革性的培训活动，WSU正在通过建立高速可扩展研究核心（HSSRC）来改善其高速网络基础设施，以访问广域科学服务和软件定义的网络环境。 HSSRC在WSU的部署通过使模拟和仪器产生的数据能够更快速有效地分析，提高了参与科学学科的知识水平。 例如，进入HSSRC允许材料科学家应用预测理论和模拟能力，有效地探索结构-性能-性能参数空间，并设计具有优化和定制性能的新材料;使核理论家能够解开我们宇宙中未解之谜;允许能源电网工程师实时分析大量电网场景;并为基因组学、遗传学和生物信息学的研究人员打开了可能性，使他们能够剖析多样性的基因组基础，并回答从解开生物体进化历史到将基因组变化与表型变化联系起来的问题。 此外，在WSU部署HSSRC能够培养下一代科学领导者，他们在广泛的建模和仿真学科以及“大数据”科学方面具有知识和经验。